LongQC: A quality control tool for third generation sequencing long read data

Yoshinori Fukasawa*, Luca Ermini, Hai Wang, Karen Carty, Min Sin Cheung

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

37 Citations (Scopus)

Abstract

We propose LongQC as an easy and automated quality control tool for genomic datasets generated by third generation sequencing (TGS) technologies such as Oxford Nanopore technologies (ONT) and SMRT sequencing from Pacific Bioscience (PacBio). Key statistics were optimized for long read data, and LongQC covers all major TGS platforms. LongQC processes and visualizes those statistics automatically and quickly.

Original languageEnglish
Pages (from-to)1193-1196
Number of pages4
JournalG3: Genes, Genomes, Genetics
Volume10
Issue number4
DOIs
Publication statusPublished - 1 Apr 2020
Externally publishedYes

Keywords

  • Long read
  • Nanopore
  • Oxford
  • PacBio
  • Quality control
  • Sequencers
  • Third generation

Fingerprint

Dive into the research topics of 'LongQC: A quality control tool for third generation sequencing long read data'. Together they form a unique fingerprint.

Cite this